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Exploring vulnerability bottlenecks of large-scale bus transit networks based on topological dynamics

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Abstract

With the emerging interdisciplinary study between transportation and network topological dynamics, exploring vulnerability bottlenecks (which consider knowledge differences between infrastructure disruptions and route service disruptions) of large-scale bus transit networks has become prevailing. This study aims to distinguish and simulate two types of disruptions by considering different concerns of different stakeholders on vulnerability. An integrated vulnerability evaluation indicator is designed to realize the comparability of attacks at various scales (which include single target, route, and area scales) and the diversity of measuring perspectives. Then, a case study is conducted based on the designed attack strategy set, from which the most efficient deliberate attack to trigger network vulnerability is quantitatively explored. The results indicate that the areas of the large-scale bus transit network accessing and interacting with urban rail transit stations are vulnerability bottlenecks, and the destructiveness of a failure edge is driven by the scale of sudden failures it constitutes. This work deepens the understanding of two types of disruptions, improves the comparability of various vulnerability studies, and provides insights for formulating operational management policies.

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Data availability

The datasets analyzed during the current study are available from the corresponding author on reasonable request.

Notes

  1. The difference between infrastructure disruptions and route service disruptions, the difference between static topology and dynamic topology, and the difference among various attack scales.

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Funding

This work was supported by the China Postdoctoral Science Foundation (No. 2020M682712), the Guangdong Basic and Applied Basic Research Foundation (No. 2021A1515110542), the Guangzhou Science and Technology Plan Project (No. 202201010549), and the National Natural Science Foundation of China (No. 52172345).

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Authors and Affiliations

  1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, 510641, China

    Lin Zhang & Huiying Wen

  2. School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, China

    Zeyang Cheng

  3. School of Transportation, Southeast University, Nanjing, 211189, China

    Da Lei

  4. Department of Traffic Management Engineering, Shandong Police College, Jinan, 250014, China

    Shubin Li

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  1. Lin Zhang
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  2. Zeyang Cheng
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Correspondence to Zeyang Cheng.

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Zhang, L., Cheng, Z., Wen, H. et al. Exploring vulnerability bottlenecks of large-scale bus transit networks based on topological dynamics. Nonlinear Dyn 109, 2223–2244 (2022). https://doi.org/10.1007/s11071-022-07436-0

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  • DOI: https://doi.org/10.1007/s11071-022-07436-0

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